Revision as of 20:13, 21 July 2012 edit Μέλισσες (talk \| contribs) 2 edits →Algorithm Description ← Previous edit		Revision as of 20:19, 21 July 2012 edit undo Μέλισσες (talk \| contribs) 2 edits →Applications Next edit →
Line 20: An interesting approach using fuzzy systems and bat algorithm has shown a reliable match between prediction and actual data for exergy modelling.<ref>T. A. Lemma, Use of fuzzy systems and bat algorithm for exergy modelling in a gas turbine generator, IEEE Colloquium on Humanities, Science and Engineering (CHUSER'2011), pp. 305-310 (2011).</ref> A detailed comparison of bat algorithm (BA) with genetic algorithm (GA), PSO and other methods for training feed forward neural networks concluded clearly that BA has advantages over other algorithms.<ref>K. Khan and A. Sahai, A comparison of BA, GA, PSO, BP and LM for training feed forward neural networks in e-learning context, Int. J. Intelligent Systems and Applications (IJISA), Vol. 4, No. 7, pp. 23-29 (2012).</ref> == References ==

Bat algorithm: Difference between revisions